• Title/Summary/Keyword: 인플루엔자 A (H1N1)

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Loop-mediated isothermal amplification assay for the rapid detection of swine influenza virus (등온증폭법을 이용한 돼지인플루엔자바이러스 신속 진단법 개발)

  • Kim, Eun-Mi;Jeon, Hyo-Sung;Kim, Ji Jung;Kim, Hee-Jung;Shin, Yeun-Kyung;Song, Jae-Young;Yeo, Sang-Geon;Park, Choi-Kyu
    • Korean Journal of Veterinary Service
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    • v.38 no.2
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    • pp.107-116
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    • 2015
  • In this study, we developed a rapid, sensitive and specific reverse-transcriptase loop-mediated isothermal amplification (RT-LAMP) assay for detection of swine influenza viruse (SIV) including major subtypes of swine influenza viruses H1N1, H1N2 and H3N2, and a novel subtype of influenza A virus that accidentally infected in pig population. The RT-LAMP was completed in 40 min at $58^{\circ}C$ and the sensitivity of the RT-LAMP ($1copy/{\mu}L$) was 10-fold higher than conventional reverse transcription-polymerase chain reaction (RT-PCR) ($10copy/{\mu}L$) and the same to real time RT-PCR ($1copy/{\mu}L$). Also, the result of the RT-LAMP can be confirmed without any detection system. Therefore, the RT-LAMP could be a alternative diagnostic method for SIV detection in national SIV monitoring system and clinical diagnostic laboratory in the future.

Mathematical Modeling of the Novel Influenza A (H1N1) Virus and Evaluation of the Epidemic Response Strategies in the Republic of Korea (수학적 모델을 이용한 신종인플루엔자 환자 예측 및 대응 전략 평가)

  • Suh, Min-A;Lee, Jee-Hyun;Chi, Hye-Jin;Kim, Young-Keun;Kang, Dae-Yong;Hur, Nam-Wook;Ha, Kyung-Hwa;Lee, Dong-Han;Kim, Chang-Soo
    • Journal of Preventive Medicine and Public Health
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    • v.43 no.2
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    • pp.109-116
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    • 2010
  • Objectives: The pandemic of novel influenza A (H1N1) virus has required decision-makers to act in the face of the substantial uncertainties. In this study, we evaluated the potential impact of the pandemic response strategies in the Republic of Korea using a mathematical model. Methods: We developed a deterministic model of a pandemic (H1N1) 2009 in a structured population using the demographic data from the Korean population and the epidemiological feature of the pandemic (H1N1) 2009. To estimate the parameter values for the deterministic model, we used the available data from the previous studies on pandemic influenza. The pandemic response strategies of the Republic of Korea for novel influenza A (H1N1) virus such as school closure, mass vaccination (70% of population in 30 days), and a policy for anti-viral drug (treatment or prophylaxis) were applied to the deterministic model. Results: The effect of two-week school closure on the attack rate was low regardless of the timing of the intervention. The earlier vaccination showed the effect of greater delays in reaching the peak of outbreaks. When it was no vaccination, vaccination at initiation of outbreak, vaccination 90 days after the initiation of outbreak and vaccination at the epidemic peak point, the total number of clinical cases for 400 days were 20.8 million, 4.4 million, 4.7 million and 12.6 million, respectively. The pandemic response strategies of the Republic of Korea delayed the peak of outbreaks (about 40 days) and decreased the number of cumulative clinical cases (8 million). Conclusions: Rapid vaccination was the most important factor to control the spread of pandemic influenza, and the response strategies of the Republic of Korea were shown to delay the spread of pandemic influenza in this deterministic model.

국가별 동물 신종플루 발생.방역조치 현황 및 유럽연합(EU) 방역관리 규정

  • Jo, Hyeon-Ho
    • Journal of the korean veterinary medical association
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    • v.46 no.1
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    • pp.42-57
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    • 2010
  • 금년 4월말 북미지역(미국 캐나다)에서 시작된 신종플루[신종인플루엔자 A(H1N1)]가 거의 모든 국가로 전파 확산됨에 따라 각 국에서는 신종플루 근절 예방대책에 총력을 기울이고 있다. 우리나라의 경우에도 예외 없이 사람에서의 신종플루 발생으로 64명의 사망자(2009.11.12. 기준)가 발생하였으며, 신종플루 감염으로 인한 인명피해를 최소화시키기 위하여 범 국가적인 차원에서 "중앙재난안전대책본부"를 가동하고 있다. 또한 국내 가축(돼지 가금)에서의 신종플루 발생 여부 검색으로 능동적인 방역관리 추진을 위하여 전국적인 모니터링 검사를 실시하고 있으나, 아직까지 가축에서는 신종플루 발생이 확인되지 않고 있어 다행이라고 여겨진다. 그러나 세계적으로는 돼지 가금에서 신종플루 발생이 가끔 확인되고 있는 점을 감안하면, 국내에서 사육중인 가축에서도 언제 어디서라도 발생될 개연성이 있음을 감안시에는 방역관리에 만전을 기해야 하는 시기이다. 따라서 필자는 지금까지 전 세계적으로 발생된 신종플루 현황 방역조치 및 유럽연합(EU)의 돼지 신종플루 방역관리 규정을 소개하여 신종플루에 대한 이해를 돕고자 한다.

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Antiviral Efficacy of Citra-kill®, Disinfectant Solution Against Avian Influenza Virus

  • Cha, Chun-Nam;Lee, Yeo-Eun;Kang, In-Jin;Yoo, Chang-Yeul;Park, Eun-Kee;An, Sun-Jeong;Kim, Suk;Lee, Hu-Jang
    • Journal of Food Hygiene and Safety
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    • v.27 no.1
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    • pp.18-23
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    • 2012
  • Highly pathogenic avian influenza virus (HPAIV) is already panzootic in poultry and caused a considerable economic loss in poultry industry. In addition, HPAIV continues to cross species barriers to infect humans and other mammals, often with fatal outcomes. In this study, the virucidal efficacy of Citra-$Kill^{(R)}$ composed to quaternary ammonium chloride and citric acid was investigated against avian influenza H9N2 virus (AIV). A virucidal efficacy was determined with the viability of AIV contacted with the disinfectant in the allantoic membrane of chicken embryos. Citra-$Kill^{(R)}$ and AIV was reacted on the distilled water (DW), hard water (HW) or organic matter suspension (OM) condition. On DW condition, AIV was inactivated with 2,000 fold dilutions of Citra-$Kill^{(R)}$. When the antiviral effect on HW condition was evaluated, the antiviral activity of the disinfectant showed on 1,500 fold dilutions against AIV. With the investigation of the antiviral effect of the disinfectant on OM condition, AIV was inactivated on 500 fold dilutions of Citra-$Kill^{(R)}$. As Citra-$Kill^{(R)}$ possesses virucidal efficacy against AIV, the disinfectant solution can be used to limit the spread of animal viral diseases.

Chest CT Parameters to Predict the Major Adverse Events in Acute Submassive Pulmonary Embolism (신종인플루엔자 폐렴환자에서 임상적 악화와 연관된 초기 전산화 단층촬영 소견)

  • Ryoo, Seung-Mok;Kim, Won-Young;Lee, Choong-Wook;Sohn, Chang-Hwan;Seo, Dong-Woo;Lee, Yoon-Seon;Lee, Jae-Ho;Oh, Bum-Jin;Kim, Won;Lim, Kyoung-Soo
    • Tuberculosis and Respiratory Diseases
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    • v.69 no.2
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    • pp.103-107
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    • 2010
  • Background: The aim of the present study was to evaluate whether findings on initial chest computed tomography (CT) of influenza pneumonia can help predict clinical outcome. Methods: We reviewed all adult patients admitted to the Emergency Department (ED) with a confirmed diagnosis of novel influenza A H1N1 virus (2009 H1N1) pneumonia, who underwent chest CT upon admission between Aug 26, 2009 and Jan 31, 2010. Radiologic findings were characterized by type and pattern of opacities and zonal distribution. Clinical outcome measures were intensive care unit (ICU) admission, mechanical ventilation, and inhospital death. Results: Of 59 patients diagnosed with 2009 H1N1 pneumonia, 41 (69.5%) underwent chest CT on admission into ED. Nine (22%) of these patients developed adverse clinical outcomes requiring the following treatments: 9 (22.0%) ICU admissions, 5 (12.2%) mechanical ventilation, and 3 (7.3%) inhospital deaths. Counting the number of patients with more than 4 involved lobes, the sensitivity, specificity, positive predictive value, and negative predictive value for detection of adverse clinical outcome were 67%, 84%, 55% and 80%, respectively. Conclusion: Extensive involvement of both lungs (over 4 lobes) is related to ICU admission, mechanical ventilation, and inhospital death. Initial chest CT may help predict an adverse clinical outcome of patients with 2009 H1N1 influenza pneumonia.

Implementation of integrated monitoring system for trace and path prediction of infectious disease (전염병의 경로 추적 및 예측을 위한 통합 정보 시스템 구현)

  • Kim, Eungyeong;Lee, Seok;Byun, Young Tae;Lee, Hyuk-Jae;Lee, Taikjin
    • Journal of Internet Computing and Services
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    • v.14 no.5
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    • pp.69-76
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    • 2013
  • The incidence of globally infectious and pathogenic diseases such as H1N1 (swine flu) and Avian Influenza (AI) has recently increased. An infectious disease is a pathogen-caused disease, which can be passed from the infected person to the susceptible host. Pathogens of infectious diseases, which are bacillus, spirochaeta, rickettsia, virus, fungus, and parasite, etc., cause various symptoms such as respiratory disease, gastrointestinal disease, liver disease, and acute febrile illness. They can be spread through various means such as food, water, insect, breathing and contact with other persons. Recently, most countries around the world use a mathematical model to predict and prepare for the spread of infectious diseases. In a modern society, however, infectious diseases are spread in a fast and complicated manner because of rapid development of transportation (both ground and underground). Therefore, we do not have enough time to predict the fast spreading and complicated infectious diseases. Therefore, new system, which can prevent the spread of infectious diseases by predicting its pathway, needs to be developed. In this study, to solve this kind of problem, an integrated monitoring system, which can track and predict the pathway of infectious diseases for its realtime monitoring and control, is developed. This system is implemented based on the conventional mathematical model called by 'Susceptible-Infectious-Recovered (SIR) Model.' The proposed model has characteristics that both inter- and intra-city modes of transportation to express interpersonal contact (i.e., migration flow) are considered. They include the means of transportation such as bus, train, car and airplane. Also, modified real data according to the geographical characteristics of Korea are employed to reflect realistic circumstances of possible disease spreading in Korea. We can predict where and when vaccination needs to be performed by parameters control in this model. The simulation includes several assumptions and scenarios. Using the data of Statistics Korea, five major cities, which are assumed to have the most population migration have been chosen; Seoul, Incheon (Incheon International Airport), Gangneung, Pyeongchang and Wonju. It was assumed that the cities were connected in one network, and infectious disease was spread through denoted transportation methods only. In terms of traffic volume, daily traffic volume was obtained from Korean Statistical Information Service (KOSIS). In addition, the population of each city was acquired from Statistics Korea. Moreover, data on H1N1 (swine flu) were provided by Korea Centers for Disease Control and Prevention, and air transport statistics were obtained from Aeronautical Information Portal System. As mentioned above, daily traffic volume, population statistics, H1N1 (swine flu) and air transport statistics data have been adjusted in consideration of the current conditions in Korea and several realistic assumptions and scenarios. Three scenarios (occurrence of H1N1 in Incheon International Airport, not-vaccinated in all cities and vaccinated in Seoul and Pyeongchang respectively) were simulated, and the number of days taken for the number of the infected to reach its peak and proportion of Infectious (I) were compared. According to the simulation, the number of days was the fastest in Seoul with 37 days and the slowest in Pyeongchang with 43 days when vaccination was not considered. In terms of the proportion of I, Seoul was the highest while Pyeongchang was the lowest. When they were vaccinated in Seoul, the number of days taken for the number of the infected to reach at its peak was the fastest in Seoul with 37 days and the slowest in Pyeongchang with 43 days. In terms of the proportion of I, Gangneung was the highest while Pyeongchang was the lowest. When they were vaccinated in Pyeongchang, the number of days was the fastest in Seoul with 37 days and the slowest in Pyeongchang with 43 days. In terms of the proportion of I, Gangneung was the highest while Pyeongchang was the lowest. Based on the results above, it has been confirmed that H1N1, upon the first occurrence, is proportionally spread by the traffic volume in each city. Because the infection pathway is different by the traffic volume in each city, therefore, it is possible to come up with a preventive measurement against infectious disease by tracking and predicting its pathway through the analysis of traffic volume.

Investigation of Antibody Titers after Inoculation with Commercial Equine Influenza Vaccines in Thoroughbred Yearlings (Thoroughbred 1세말에서 상업용 말 인플루엔자 백신접종 후 항체역가 추적)

  • Yang, J.H.;Park, Y.S.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.20 no.1
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    • pp.89-96
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    • 2018
  • The object of this study was to evaluate the change of antibody titers on virus strains after inoculation with commercial killed equine influenza (EI) vaccines in horses. Serum antibodies of 20 Thoroughbred yearlings were detected using hemagglutination inhibition test for 41 weeks. Second vaccination is inoculated 4 weeks after the initial vaccination. Most of antibody titers were not increased until 4 weeks after first vaccination. The highest titers were detected 6-10 weeks after vaccination. The titers were decreased slowly and maintained for 16 weeks after inoculation. We could barely detect the antibody 41 weeks after vaccination in most cases. Vaccine anergia were appeared in 3 horses (15%) but it depended on virus strains. A/Equine/La Plata/93(H3N8) strain that induce high and durable antibody responses was the most effective among three strains. This study presents the first comprehensive data on the endurance of antibody titers against EI. Our data also suggests that yearlings should be inoculated three times in order to maintaining optimal antibody titers against EI. We speculate the causes of anergia were vaccine break down or individual specificity. Further research is needed to investigate immunological unresponsiveness. This was the first study on strain of equine vaccine in Korea.

Statistical Consideration of Vaccine Clinical Trials (백신임상시험에 대한 통계적 고찰)

  • Nam, Ju-Sun;Kang, Seung-Ho
    • The Korean Journal of Applied Statistics
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    • v.24 no.4
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    • pp.633-646
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    • 2011
  • Clinical vaccines studies (that include cancer prevention vaccines and therapeutic vaccines) are ongoing to improve the quality of life and lengthen the human lifespan. Recently clinical trials and research on vaccines have become more active due to the prevalence of new viruses such as the A(H1N1) virus that freighted the whole word in 2009. In this paper we will describe the statistical aspects of clinical vaccine trials and outline the current situation of domestic and international vaccine development.

National Level Response to Pandemic (H1N1) 2009 (정부의 신종인플루엔자 A(H1N1) 대응)

  • Lee, Dong-Han;Shin, Sang-Sook;Jun, Byung-Yool;Lee, Jong-Koo
    • Journal of Preventive Medicine and Public Health
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    • v.43 no.2
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    • pp.99-104
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    • 2010
  • The World Health Organization (WHO) announced the emergence of a novel influenza on April 24, 2009, and they declared pandemic on June 11. In Korea, the proportion of influenza-like illness and the consumption of antiviral agents peaked in early November. The government established the Central Headquarters for Influenza Control and operated the emergency response system. In the quarantine stations, we checked the body temperature and collected quarantine questionnaires from all the arrivals from infected countries. We also isolated the confirmed cases in the national isolation hospitals. However, as the community outbreaks were reported, we changed strategy from containment to mitigation. We changed the antiviral agent prescription guideline so that doctors could prescribe antiviral agents to all patients with acute febrile respiratory illness, without a laboratory diagnosis. Also the 470 designated hospitals were activated to enhance the efficacy of treatment. We vaccinated about 12 million people and manage the adverse event following the immunization management system. In 2010, we will establish additional national isolation wards and support hospitals to establish fever clinics and isolation intensive care unit (ICU) beds. We will also make a computer program for managing the national isolation hospitals and designated hospitals. We will establish isolation rooms and expand the laboratory in quarantine stations and we will construct a bio-safety level 3 laboratory in each province. In addition, we plan to construct a bio-safety level 4 laboratory at a new Korea Centers for Disease Control and Prevention (KCDC) facilities in Ossong.

Clinical and pathological studies on co-infection of lowpathogenic avian influenza virus and Newcastle disease virus in the chicken (닭에서 저병원성 조류인플루엔자와 뉴캐슬 바이러스의 복합감염에 따른 임상적, 병리학적 연구)

  • Lee, Sung-Min;Cho, Eun-Sang;Choi, Bo-Hyun;Son, Hwa-Young
    • Korean Journal of Veterinary Service
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    • v.36 no.3
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    • pp.163-169
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    • 2013
  • Both of avian influenza (AI) and Newcastle disease (ND) can cause mild to severe diease in poultry. In this study, clinical signs, macro, and micro lesions were studied. Eighteen six-week-old SPF chicks were divided into 4 groups (E1, E2, E3 and C1) and housed in different rooms of the isolation facility at CAVAC (Daejeon, Korea). The control group (C1) of 3 chicks was housed separately as uninoculated. Experimental groups (E1, E2 and E3) challenged with H9N2 and/or NDV. E1 group was challenged with 0.1 mL A/Kr/Ck/01310/01 (H9N2) $10^{5.6}$ $EID_{50}$ by intranasal, E2 group was challenged with 0.5 mL Kyojeongwon (KJW) $10^{5.0}{\sim}10^{6.0}$ $ELD_{50}$ by intramuscular, and E3 group was challenged with 0.1 mL A/Kr/Ck/01310/01 $10^{5.6}$ $EID_{50}$ by intranasal and 0.5 mL KJW $10^{5.0}{\sim}10^{6.0}$ $ELD_{50}$ by intramuscular 7 days after H9N2 challenge. In clinical signs and gross findings, E1 group showed 0% mortality, anorexia, and hemorrhage of proventriculus and thymus, E2 group showed 100% mortality within 3~5 days after challenge, anorexia, green diarrhea, hemorrhage of proventriculus, proximal esophagus and thymus, enlargement of kidney, and bronze liver, and E3 group showed 100% mortality within 24~36 hours after NDV challenge, depression, anorexia, green diarrhea, hemorrhage of proventriculus, spleen, and lung, enlargement of kidney, and reduction of thymus size and number. In histopathological examination, E1 group showed depletion and necrosis in bursa of Fabricius, thymus, and spleen, and E2 and E3 group showed severe lymphocyte depletion and necrosis with destruction of lymphoid organ structures. In conclusion, co-infection of H9N2 with ND virus causes acute disease with high mortality than single infection and the pathologic lesions were more severe.